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Navigating the Nuances of GraphRAG vs. RAG
Table of Contents RAG: The Baseline Approach Based on EmbeddingsGraphRAG: Connecting the Dots with Knowledge GraphsTowards Hybrid Approaches and Unified PlatformsBuilding Reliable AI AppsWhile large language models (LLMs) hold immense promise for building AI applications and agentic systems, ensuring they ...
Table of Contents A Quick Overview of AgentsPath 1: Standardized Integration with MCP serversPath 2: Custom Integrations for Control and FlexibilityAccuracy, Security, and Performance ConsiderationsAccuracy: Ensure Reliable Query GenerationSecurity: Maintain Protection and GuardrailsPerformance: Manage Unpredictable Agentic WorkloadsThe Agentic Future Depends …
If you want to know what I spoke about in @jcon_conference in Germany, here's an interview I did at the @foojayio podcast:
#Java #JCON #JakartaEE #AI #A2A
Our team loves to meet and talk with the Java community from around the world. If you want to learn more. You can find all OmniFish presentations at: https://speakerdeck.com/omnifish, including links to the source code of related demos. Or get in touch for a free consultation call.
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